Research Article Open Access

Fixed Representative Colors Feature Extraction Algorithm for Moving Picture Experts Group-7 Dominant Color Descriptor

Ahmed Ibrahim1, Ala'a Al-Zou'bi2, Raed Sahawneh1 and Maria Makhadmeh1
  • 1 ,
  • 2 , Afganistan
Journal of Computer Science
Volume 5 No. 11, 2009, 773-777

DOI: https://doi.org/10.3844/jcssp.2009.773.777

Submitted On: 25 June 2009 Published On: 30 November 2009

How to Cite: Ibrahim, A., Al-Zou'bi, A., Sahawneh, R. & Makhadmeh, M. (2009). Fixed Representative Colors Feature Extraction Algorithm for Moving Picture Experts Group-7 Dominant Color Descriptor. Journal of Computer Science, 5(11), 773-777. https://doi.org/10.3844/jcssp.2009.773.777

Abstract

Problem statement: MPEG-7 has defined a set of color descriptors for the multimedia contents; one of these descriptors is the Dominant Color Descriptor (DCD). The DCD adopted the Generalized Lloyd Algorithm (GLA) as a feature extraction technique. However, using this algorithm in image retrieval systems may produce perceptually irrelevant images in the ranked results. Approach: In this study, we proposed a new technique for the extraction of the DCD called Fixed Representative Colors Feature Extraction Algorithm (FRCFE). This technique is based on converting the original image colors to a set of predefined colors in the RGB color space. Also, we developed an image retrieval system to measure the effectives of this technique. Results: Experimental results revealed that FRCFE provides better accurate and perceptually relevant image retrieval for the MPEG-7 DCD than GLA in the chosen dataset. Conclusion: Mapping the original image colors to a set of predefined colors preserved the main features of the image and can produce more accurate results when used in image retrieval systems.

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Keywords

  • Moving picture experts group-7
  • image retrieval
  • dominant color descriptor
  • feature extraction